{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 460,
   "id": "2b990d5b-073d-48bf-a45c-4b1320600283",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "matplotlib.rcParams['font.family'] = 'Simhei'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e603273-0647-49df-ac7d-42bf7fca8dc1",
   "metadata": {},
   "source": [
    "# 一、读取文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcf58c94-438f-445c-9eec-f886af05f68d",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 1.发货记录"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ce311432-9be4-415b-a6c0-c37821b4baac",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>ddap_id</th>\n",
       "      <th>khxx_id</th>\n",
       "      <th>zdxx_id</th>\n",
       "      <th>khxd_id</th>\n",
       "      <th>fhdxx_id</th>\n",
       "      <th>hplx</th>\n",
       "      <th>cpgg</th>\n",
       "      <th>cppp</th>\n",
       "      <th>jz</th>\n",
       "      <th>dzdw</th>\n",
       "      <th>dj</th>\n",
       "      <th>hk</th>\n",
       "      <th>clxx_id</th>\n",
       "      <th>create_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2509</td>\n",
       "      <td>3624</td>\n",
       "      <td>218</td>\n",
       "      <td>319</td>\n",
       "      <td>1978</td>\n",
       "      <td>103</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>38.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>7944.66</td>\n",
       "      <td>314</td>\n",
       "      <td>2022-07-21 07:10:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2510</td>\n",
       "      <td>3637</td>\n",
       "      <td>107</td>\n",
       "      <td>93</td>\n",
       "      <td>1981</td>\n",
       "      <td>124</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>15490.40</td>\n",
       "      <td>241</td>\n",
       "      <td>2022-07-21 07:19:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2514</td>\n",
       "      <td>3638</td>\n",
       "      <td>152</td>\n",
       "      <td>191</td>\n",
       "      <td>1986</td>\n",
       "      <td>121</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>14028.80</td>\n",
       "      <td>276</td>\n",
       "      <td>2022-07-21 10:49:34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2515</td>\n",
       "      <td>3639</td>\n",
       "      <td>152</td>\n",
       "      <td>191</td>\n",
       "      <td>1986</td>\n",
       "      <td>121</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>52.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>16704.00</td>\n",
       "      <td>257</td>\n",
       "      <td>2022-07-21 10:49:35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2516</td>\n",
       "      <td>3666</td>\n",
       "      <td>139</td>\n",
       "      <td>141</td>\n",
       "      <td>1998</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>32.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>9437.44</td>\n",
       "      <td>163</td>\n",
       "      <td>2022-07-21 11:23:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49870</th>\n",
       "      <td>60712</td>\n",
       "      <td>62734</td>\n",
       "      <td>461</td>\n",
       "      <td>744</td>\n",
       "      <td>32869</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>36.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1800.00</td>\n",
       "      <td>1345</td>\n",
       "      <td>2024-06-24 13:28:49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49871</th>\n",
       "      <td>60713</td>\n",
       "      <td>62747</td>\n",
       "      <td>609</td>\n",
       "      <td>1145</td>\n",
       "      <td>32886</td>\n",
       "      <td>105</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>41.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>6379.80</td>\n",
       "      <td>106</td>\n",
       "      <td>2024-06-24 14:08:54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49872</th>\n",
       "      <td>60714</td>\n",
       "      <td>62748</td>\n",
       "      <td>103</td>\n",
       "      <td>87</td>\n",
       "      <td>32893</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>34.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>5363.00</td>\n",
       "      <td>226</td>\n",
       "      <td>2024-06-24 14:09:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49873</th>\n",
       "      <td>60715</td>\n",
       "      <td>62745</td>\n",
       "      <td>201</td>\n",
       "      <td>892</td>\n",
       "      <td>32890</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>40.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>6908.80</td>\n",
       "      <td>125</td>\n",
       "      <td>2024-06-24 14:40:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49874</th>\n",
       "      <td>60716</td>\n",
       "      <td>62744</td>\n",
       "      <td>388</td>\n",
       "      <td>1278</td>\n",
       "      <td>32911</td>\n",
       "      <td>105</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>35.68</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>5352.00</td>\n",
       "      <td>766</td>\n",
       "      <td>2024-06-24 15:07:41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49875 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  ddap_id  khxx_id  zdxx_id  khxd_id  fhdxx_id  hplx  cpgg  cppp  \\\n",
       "0       2509     3624      218      319     1978       103     1     1     8   \n",
       "1       2510     3637      107       93     1981       124     0     0     0   \n",
       "2       2514     3638      152      191     1986       121     0     0     0   \n",
       "3       2515     3639      152      191     1986       121     0     0     0   \n",
       "4       2516     3666      139      141     1998       104     1     1     9   \n",
       "...      ...      ...      ...      ...      ...       ...   ...   ...   ...   \n",
       "49870  60712    62734      461      744    32869       104     1     1     9   \n",
       "49871  60713    62747      609     1145    32886       105     1     1     9   \n",
       "49872  60714    62748      103       87    32893       104     1     1     9   \n",
       "49873  60715    62745      201      892    32890       104     1     1     9   \n",
       "49874  60716    62744      388     1278    32911       105     1     1     9   \n",
       "\n",
       "          jz  dzdw     dj        hk  clxx_id          create_time  \n",
       "0      38.38   0.0  207.0   7944.66      314  2022-07-21 07:10:48  \n",
       "1      45.56   0.0  340.0  15490.40      241  2022-07-21 07:19:48  \n",
       "2      43.84   0.0  320.0  14028.80      276  2022-07-21 10:49:34  \n",
       "3      52.20   0.0  320.0  16704.00      257  2022-07-21 10:49:35  \n",
       "4      32.32   0.0  292.0   9437.44      163  2022-07-21 11:23:31  \n",
       "...      ...   ...    ...       ...      ...                  ...  \n",
       "49870  36.00   0.0   50.0   1800.00     1345  2024-06-24 13:28:49  \n",
       "49871  41.16   0.0  155.0   6379.80      106  2024-06-24 14:08:54  \n",
       "49872  34.60   0.0  155.0   5363.00      226  2024-06-24 14:09:20  \n",
       "49873  40.64   0.0  170.0   6908.80      125  2024-06-24 14:40:16  \n",
       "49874  35.68   0.0  150.0   5352.00      766  2024-06-24 15:07:41  \n",
       "\n",
       "[49875 rows x 15 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fhjl = pd.read_csv(r\"ERP_FHJL.csv\",\n",
    "                   #index_col 设置索引列\n",
    "                   header = 0)  \n",
    "fhjl"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08679085-62a6-4fc3-b2e0-781d82da1451",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 2.客户下单"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "4c48582b-a9ad-44b5-a800-41f907f28a0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>khxx_id</th>\n",
       "      <th>zd_id</th>\n",
       "      <th>hplx</th>\n",
       "      <th>cpgg</th>\n",
       "      <th>cppp</th>\n",
       "      <th>fhdw</th>\n",
       "      <th>hyfs</th>\n",
       "      <th>ywlx_code</th>\n",
       "      <th>fhd_id</th>\n",
       "      <th>dzsj</th>\n",
       "      <th>create_by</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>79</td>\n",
       "      <td>37</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>1</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>2022-06-13 15:59:10</td>\n",
       "      <td>xssb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>745</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>1</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>2022-06-29 05:46:42</td>\n",
       "      <td>DS0403001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>865</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>200.00</td>\n",
       "      <td>1</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>2022-07-01 04:30:19</td>\n",
       "      <td>DS0403001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>928</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>200.00</td>\n",
       "      <td>1</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>2022-07-02 10:46:07</td>\n",
       "      <td>DS0403001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>958</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>150.00</td>\n",
       "      <td>1</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>2022-07-03 04:27:59</td>\n",
       "      <td>DS0403001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>27948</th>\n",
       "      <td>32911</td>\n",
       "      <td>388</td>\n",
       "      <td>1278</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>35.00</td>\n",
       "      <td>0</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>104</td>\n",
       "      <td>2024-06-24 08:05:00</td>\n",
       "      <td>DS0403003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27949</th>\n",
       "      <td>32912</td>\n",
       "      <td>636</td>\n",
       "      <td>1211</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>35.00</td>\n",
       "      <td>0</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>104</td>\n",
       "      <td>2024-06-24 08:05:00</td>\n",
       "      <td>DS0403003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27950</th>\n",
       "      <td>32913</td>\n",
       "      <td>497</td>\n",
       "      <td>1274</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>42.36</td>\n",
       "      <td>0</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>104</td>\n",
       "      <td>2024-06-05 08:05:00</td>\n",
       "      <td>chediao</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27951</th>\n",
       "      <td>32914</td>\n",
       "      <td>479</td>\n",
       "      <td>793</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>30.00</td>\n",
       "      <td>0</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>104</td>\n",
       "      <td>2024-06-24 08:05:00</td>\n",
       "      <td>DS0402003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27952</th>\n",
       "      <td>32915</td>\n",
       "      <td>546</td>\n",
       "      <td>979</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>30.00</td>\n",
       "      <td>0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>105</td>\n",
       "      <td>2024-06-25 08:05:00</td>\n",
       "      <td>DS0403000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27953 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  khxx_id  zd_id  hplx  cpgg  cppp    fhdw  hyfs      ywlx_code  \\\n",
       "0         79       37     46     0     0     0  100.00     1  配送 (贸易+起驳+运输)   \n",
       "1        745      141    276     0     0     0  100.00     1  配送 (贸易+起驳+运输)   \n",
       "2        865      141    276     0     0     0  200.00     1  配送 (贸易+起驳+运输)   \n",
       "3        928      141    276     0     0     0  200.00     1  配送 (贸易+起驳+运输)   \n",
       "4        958      141    276     0     0     0  150.00     1  配送 (贸易+起驳+运输)   \n",
       "...      ...      ...    ...   ...   ...   ...     ...   ...            ...   \n",
       "27948  32911      388   1278     1     1     9   35.00     0        自提 (贸易)   \n",
       "27949  32912      636   1211     1     1     9   35.00     0        自提 (贸易)   \n",
       "27950  32913      497   1274     1     1     9   42.36     0        自提 (贸易)   \n",
       "27951  32914      479    793     1     1     9   30.00     0        自提 (贸易)   \n",
       "27952  32915      546    979     1     1     9   30.00     0     配送 (贸易+运输)   \n",
       "\n",
       "       fhd_id                 dzsj  create_by  \n",
       "0         121  2022-06-13 15:59:10       xssb  \n",
       "1         121  2022-06-29 05:46:42  DS0403001  \n",
       "2         121  2022-07-01 04:30:19  DS0403001  \n",
       "3         121  2022-07-02 10:46:07  DS0403001  \n",
       "4         121  2022-07-03 04:27:59  DS0403001  \n",
       "...       ...                  ...        ...  \n",
       "27948     104  2024-06-24 08:05:00  DS0403003  \n",
       "27949     104  2024-06-24 08:05:00  DS0403003  \n",
       "27950     104  2024-06-05 08:05:00    chediao  \n",
       "27951     104  2024-06-24 08:05:00  DS0402003  \n",
       "27952     105  2024-06-25 08:05:00  DS0403000  \n",
       "\n",
       "[27953 rows x 12 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "khxd = pd.read_csv(\"ERP_KHXD.csv\",\n",
    "              header = 0)\n",
    "khxd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83ccc3bc-d9e6-432d-97a7-228a9112a4e2",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 3.用户信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9bbafc71-1b49-4af8-801b-528435d42bff",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>user_name</th>\n",
       "      <th>nick_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>admin</td>\n",
       "      <td>系统管理员1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>dsadmin</td>\n",
       "      <td>管理员</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>zhangsan</td>\n",
       "      <td>张三</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>testuser</td>\n",
       "      <td>testuser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>xs01</td>\n",
       "      <td>销售一</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>149</td>\n",
       "      <td>DS02005</td>\n",
       "      <td>袁义平</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>150</td>\n",
       "      <td>JCHS</td>\n",
       "      <td>荆楚宏盛</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>151</td>\n",
       "      <td>DS06004</td>\n",
       "      <td>高</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>152</td>\n",
       "      <td>测试客服</td>\n",
       "      <td>测试客服</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>154</td>\n",
       "      <td>testkf</td>\n",
       "      <td>testkf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     user_id user_name nick_name\n",
       "0          1     admin    系统管理员1\n",
       "1          4   dsadmin       管理员\n",
       "2          5  zhangsan        张三\n",
       "3          7  testuser  testuser\n",
       "4          8      xs01       销售一\n",
       "..       ...       ...       ...\n",
       "145      149   DS02005       袁义平\n",
       "146      150      JCHS      荆楚宏盛\n",
       "147      151   DS06004         高\n",
       "148      152      测试客服      测试客服\n",
       "149      154    testkf    testkf\n",
       "\n",
       "[150 rows x 3 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user = pd.read_csv(\"sys_user.csv\",\n",
    "              header = 0)\n",
    "user"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2442c9f7-7a1a-4e14-89ae-afe0bb19994a",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 4.客户信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fd098021-98cd-47e5-af61-1ab5d501d2a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>id</th>\n",
       "      <th>khmc</th>\n",
       "      <th>user_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16</td>\n",
       "      <td>测试一下</td>\n",
       "      <td>DS04001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18</td>\n",
       "      <td>武汉中村</td>\n",
       "      <td>DS0403003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20</td>\n",
       "      <td>武汉昊恒(水泥)</td>\n",
       "      <td>DS0406000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21</td>\n",
       "      <td>华安水泥(君善建)</td>\n",
       "      <td>DS0406000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23</td>\n",
       "      <td>合力久盛(现金)</td>\n",
       "      <td>DS0404001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>646</td>\n",
       "      <td>新中环</td>\n",
       "      <td>DS0403000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>647</td>\n",
       "      <td>湖北联发水泥厂</td>\n",
       "      <td>DS0501003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>648</td>\n",
       "      <td>武汉宏新途远商贸有限公司</td>\n",
       "      <td>DS0405003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>649</td>\n",
       "      <td>慧迪（授信）</td>\n",
       "      <td>DS0401002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>650</td>\n",
       "      <td>华安水泥东湖分公司</td>\n",
       "      <td>DS0403003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>537 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id          khmc  user_name\n",
       "0     16          测试一下    DS04001\n",
       "1     18          武汉中村  DS0403003\n",
       "2     20      武汉昊恒(水泥)  DS0406000\n",
       "3     21     华安水泥(君善建)  DS0406000\n",
       "4     23      合力久盛(现金)  DS0404001\n",
       "..   ...           ...        ...\n",
       "532  646           新中环  DS0403000\n",
       "533  647       湖北联发水泥厂  DS0501003\n",
       "534  648  武汉宏新途远商贸有限公司  DS0405003\n",
       "535  649        慧迪（授信）  DS0401002\n",
       "536  650     华安水泥东湖分公司  DS0403003\n",
       "\n",
       "[537 rows x 3 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "khxx = pd.read_csv(\"ERP_KHXX.csv\",\n",
    "                  header = 0)\n",
    "khxx"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a252898a-2057-4857-b9e2-9ff4163c5552",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 5.字典"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0348e5ee-013c-4276-8ec9-7f8e7ca16182",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>dict_type</th>\n",
       "      <th>dict_value</th>\n",
       "      <th>dict_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>sys_user_sex</td>\n",
       "      <td>0</td>\n",
       "      <td>男</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>sys_user_sex</td>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>sys_user_sex</td>\n",
       "      <td>2</td>\n",
       "      <td>未知</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>sys_show_hide</td>\n",
       "      <td>0</td>\n",
       "      <td>显示</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>sys_show_hide</td>\n",
       "      <td>1</td>\n",
       "      <td>隐藏</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>745</td>\n",
       "      <td>ERP_CPGG</td>\n",
       "      <td>0</td>\n",
       "      <td>P.O42.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>746</td>\n",
       "      <td>ERP_CPGG</td>\n",
       "      <td>1</td>\n",
       "      <td>S95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>747</td>\n",
       "      <td>ERP_CPGG</td>\n",
       "      <td>2</td>\n",
       "      <td>V800(袋装)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>748</td>\n",
       "      <td>ERP_CPGG</td>\n",
       "      <td>3</td>\n",
       "      <td>V800(散装)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>749</td>\n",
       "      <td>ERP_CPGG</td>\n",
       "      <td>4</td>\n",
       "      <td>PO52.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>266 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id      dict_type dict_value dict_label\n",
       "0      1   sys_user_sex          0          男\n",
       "1      2   sys_user_sex          1          女\n",
       "2      3   sys_user_sex          2         未知\n",
       "3      4  sys_show_hide          0         显示\n",
       "4      5  sys_show_hide          1         隐藏\n",
       "..   ...            ...        ...        ...\n",
       "261  745       ERP_CPGG          0    P.O42.5\n",
       "262  746       ERP_CPGG          1        S95\n",
       "263  747       ERP_CPGG          2   V800(袋装)\n",
       "264  748       ERP_CPGG          3   V800(散装)\n",
       "265  749       ERP_CPGG          4     PO52.5\n",
       "\n",
       "[266 rows x 4 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic = pd.read_csv(\"sys_dict_data.csv\",\n",
    "                 header = 0)\n",
    "dic"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7425ab98-620f-489d-9f09-90ac49c4af90",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 6.车辆信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a62f4b0b-bcd3-4039-8f3d-54ce8ec79259",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "  <thead>\n",
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       "      <th>id</th>\n",
       "      <th>cph</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1827</td>\n",
       "      <td>\\t 鄂AJC558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1802</td>\n",
       "      <td>鄂AKX820</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1803</td>\n",
       "      <td>鄂AKX820</td>\n",
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       "      <th>3</th>\n",
       "      <td>1755</td>\n",
       "      <td>鄂AUL326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1352</td>\n",
       "      <td>.鄂AAL515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>1093</td>\n",
       "      <td>鄂S765A2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>492</td>\n",
       "      <td>鄂S769A6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>1091</td>\n",
       "      <td>鄂S827A0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>1442</td>\n",
       "      <td>鄂SE3272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>1740</td>\n",
       "      <td>，鄂ANJ829</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2011 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id         cph\n",
       "0     1827  \\t 鄂AJC558\n",
       "1     1802     鄂AKX820\n",
       "2     1803     鄂AKX820\n",
       "3     1755     鄂AUL326\n",
       "4     1352    .鄂AAL515\n",
       "...    ...         ...\n",
       "2006  1093     鄂S765A2\n",
       "2007   492     鄂S769A6\n",
       "2008  1091     鄂S827A0\n",
       "2009  1442     鄂SE3272\n",
       "2010  1740    ，鄂ANJ829\n",
       "\n",
       "[2011 rows x 2 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clxx = pd.read_csv(\"ERP_clxx.CSV\",\n",
    "                  header = 0)\n",
    "clxx"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a15a8f73-67be-4216-9379-2c263d7adca3",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# 二、数据预处理（去除一些表格中的无用信息）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "fe14d1e9-4b46-4124-9bf7-2f0abc3c8c4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>khxd_id</th>\n",
       "      <th>khxx_id</th>\n",
       "      <th>zd_id</th>\n",
       "      <th>fhdw</th>\n",
       "      <th>ywlx_code</th>\n",
       "      <th>fhd_id</th>\n",
       "      <th>user_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>79</td>\n",
       "      <td>37</td>\n",
       "      <td>46</td>\n",
       "      <td>100.00</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>xssb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>745</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>100.00</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>865</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>200.00</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>928</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>200.00</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>958</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>150.00</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27948</th>\n",
       "      <td>32911</td>\n",
       "      <td>388</td>\n",
       "      <td>1278</td>\n",
       "      <td>35.00</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0403003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27949</th>\n",
       "      <td>32912</td>\n",
       "      <td>636</td>\n",
       "      <td>1211</td>\n",
       "      <td>35.00</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0403003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27950</th>\n",
       "      <td>32913</td>\n",
       "      <td>497</td>\n",
       "      <td>1274</td>\n",
       "      <td>42.36</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>104</td>\n",
       "      <td>chediao</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27951</th>\n",
       "      <td>32914</td>\n",
       "      <td>479</td>\n",
       "      <td>793</td>\n",
       "      <td>30.00</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0402003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27952</th>\n",
       "      <td>32915</td>\n",
       "      <td>546</td>\n",
       "      <td>979</td>\n",
       "      <td>30.00</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>105</td>\n",
       "      <td>DS0403000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27953 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       khxd_id  khxx_id  zd_id    fhdw      ywlx_code  fhd_id  user_name\n",
       "0           79       37     46  100.00  配送 (贸易+起驳+运输)     121       xssb\n",
       "1          745      141    276  100.00  配送 (贸易+起驳+运输)     121  DS0403001\n",
       "2          865      141    276  200.00  配送 (贸易+起驳+运输)     121  DS0403001\n",
       "3          928      141    276  200.00  配送 (贸易+起驳+运输)     121  DS0403001\n",
       "4          958      141    276  150.00  配送 (贸易+起驳+运输)     121  DS0403001\n",
       "...        ...      ...    ...     ...            ...     ...        ...\n",
       "27948    32911      388   1278   35.00        自提 (贸易)     104  DS0403003\n",
       "27949    32912      636   1211   35.00        自提 (贸易)     104  DS0403003\n",
       "27950    32913      497   1274   42.36        自提 (贸易)     104    chediao\n",
       "27951    32914      479    793   30.00        自提 (贸易)     104  DS0402003\n",
       "27952    32915      546    979   30.00     配送 (贸易+运输)     105  DS0403000\n",
       "\n",
       "[27953 rows x 7 columns]"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fhjl_0 = fhjl.drop('ddap_id',axis = 1)\n",
    "khxd_0 = khxd.drop('hplx',axis = 1)\n",
    "khxd_0 = khxd_0.drop('cpgg',axis = 1)\n",
    "khxd_0 = khxd_0.drop('cppp',axis = 1)\n",
    "khxd_0 = khxd_0.drop('hyfs',axis = 1)\n",
    "khxd_0 = khxd_0.drop('dzsj',axis = 1)\n",
    "khxd_0.columns = ['khxd_id','khxx_id','zd_id','fhdw','ywlx_code','fhd_id','user_name']\n",
    "khxd_0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ecc48a4-3afd-4cd6-a952-229836e1ec1b",
   "metadata": {},
   "source": [
    "# 三、关联表格"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c1a70bd-85f0-4955-a1e8-4f0795a31032",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 1.客户信息&用户信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f7e4db83-dd27-49bf-87eb-9407e797803f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>khmc</th>\n",
       "      <th>user_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16</td>\n",
       "      <td>测试一下</td>\n",
       "      <td>DS04001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18</td>\n",
       "      <td>武汉中村</td>\n",
       "      <td>DS0403003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20</td>\n",
       "      <td>武汉昊恒(水泥)</td>\n",
       "      <td>DS0406000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21</td>\n",
       "      <td>华安水泥(君善建)</td>\n",
       "      <td>DS0406000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23</td>\n",
       "      <td>合力久盛(现金)</td>\n",
       "      <td>DS0404001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>646</td>\n",
       "      <td>新中环</td>\n",
       "      <td>DS0403000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>647</td>\n",
       "      <td>湖北联发水泥厂</td>\n",
       "      <td>DS0501003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>648</td>\n",
       "      <td>武汉宏新途远商贸有限公司</td>\n",
       "      <td>DS0405003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>649</td>\n",
       "      <td>慧迪（授信）</td>\n",
       "      <td>DS0401002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>650</td>\n",
       "      <td>华安水泥东湖分公司</td>\n",
       "      <td>DS0403003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>537 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id          khmc  user_name\n",
       "0     16          测试一下    DS04001\n",
       "1     18          武汉中村  DS0403003\n",
       "2     20      武汉昊恒(水泥)  DS0406000\n",
       "3     21     华安水泥(君善建)  DS0406000\n",
       "4     23      合力久盛(现金)  DS0404001\n",
       "..   ...           ...        ...\n",
       "532  646           新中环  DS0403000\n",
       "533  647       湖北联发水泥厂  DS0501003\n",
       "534  648  武汉宏新途远商贸有限公司  DS0405003\n",
       "535  649        慧迪（授信）  DS0401002\n",
       "536  650     华安水泥东湖分公司  DS0403003\n",
       "\n",
       "[537 rows x 3 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "khxx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "8e28e5ff-3d17-4de1-a294-0962482c3133",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>user_name</th>\n",
       "      <th>nick_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>admin</td>\n",
       "      <td>系统管理员1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>dsadmin</td>\n",
       "      <td>管理员</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>zhangsan</td>\n",
       "      <td>张三</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>testuser</td>\n",
       "      <td>testuser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>xs01</td>\n",
       "      <td>销售一</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>149</td>\n",
       "      <td>DS02005</td>\n",
       "      <td>袁义平</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>150</td>\n",
       "      <td>JCHS</td>\n",
       "      <td>荆楚宏盛</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>151</td>\n",
       "      <td>DS06004</td>\n",
       "      <td>高</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>152</td>\n",
       "      <td>测试客服</td>\n",
       "      <td>测试客服</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>154</td>\n",
       "      <td>testkf</td>\n",
       "      <td>testkf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     user_id user_name nick_name\n",
       "0          1     admin    系统管理员1\n",
       "1          4   dsadmin       管理员\n",
       "2          5  zhangsan        张三\n",
       "3          7  testuser  testuser\n",
       "4          8      xs01       销售一\n",
       "..       ...       ...       ...\n",
       "145      149   DS02005       袁义平\n",
       "146      150      JCHS      荆楚宏盛\n",
       "147      151   DS06004         高\n",
       "148      152      测试客服      测试客服\n",
       "149      154    testkf    testkf\n",
       "\n",
       "[150 rows x 3 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "749a67a9-4dcd-4f86-8531-c9c8052663c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>khmc</th>\n",
       "      <th>user_name</th>\n",
       "      <th>sales_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>测试一下</td>\n",
       "      <td>DS04001</td>\n",
       "      <td>公司业务员</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>武汉中村</td>\n",
       "      <td>DS0403003</td>\n",
       "      <td>史丹</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>武汉福俊</td>\n",
       "      <td>DS0403003</td>\n",
       "      <td>史丹</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>亿新成</td>\n",
       "      <td>DS0403003</td>\n",
       "      <td>史丹</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>天固建设</td>\n",
       "      <td>DS0403003</td>\n",
       "      <td>史丹</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>荆楚宏盛（换货）</td>\n",
       "      <td>JCHS</td>\n",
       "      <td>荆楚宏盛</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>鑫超强</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>唐俊吉</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>湖北志森</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>湖北联发水泥厂</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>537 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         khmc  user_name sales_name\n",
       "0        测试一下    DS04001      公司业务员\n",
       "1        武汉中村  DS0403003         史丹\n",
       "2        武汉福俊  DS0403003         史丹\n",
       "3         亿新成  DS0403003         史丹\n",
       "4        天固建设  DS0403003         史丹\n",
       "..        ...        ...        ...\n",
       "532  荆楚宏盛（换货）       JCHS       荆楚宏盛\n",
       "533       鑫超强  DS0501003        李雨舟\n",
       "534       唐俊吉  DS0501003        李雨舟\n",
       "535      湖北志森  DS0501003        李雨舟\n",
       "536   湖北联发水泥厂  DS0501003        李雨舟\n",
       "\n",
       "[537 rows x 3 columns]"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "khxx_user = pd.merge(khxx,user,on = 'user_name')\n",
    "khxx_user = khxx_user.drop('id',axis = 1)\n",
    "khxx_user = khxx_user.drop('user_id',axis = 1)\n",
    "khxx_user.columns = ['khmc','user_name','sales_name']\n",
    "khxx_user"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f4432a7-9c53-4b65-b45c-d315362aecc0",
   "metadata": {},
   "source": [
    "## 2.字典&发货记录"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e6e8657-2397-4f18-a413-518541dc6e8e",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### 筛选、拆分、生成字典"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "d5a9659a-59f6-4bc5-a41f-8547e9ea4f2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: '水泥', 1: '矿粉'}"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#货品类型\n",
    "dic_HPLX = dic[dic['dict_type'] == 'ERP_HPLX']\n",
    "dic_HPLX\n",
    "#根据该表生成字典{值：标签}\n",
    "dic_hplx = dict(zip(dic_HPLX['dict_value'], dic_HPLX['dict_label']))\n",
    "dict_hplx = {}\n",
    "for key, value in dic_hplx.items():\n",
    "    dict_hplx[int(key)] = value\n",
    "dict_hplx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a89dcb6c-db68-4a49-b8c2-34769cb75026",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: 'P.O42.5', 1: 'S95', 2: 'V800(袋装)', 3: 'V800(散装)', 4: 'PO52.5'}"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#产品规格\n",
    "dic_CPGG = dic[dic['dict_type'] == 'ERP_CPGG']\n",
    "dic_CPGG\n",
    "#根据该表生成字典{值：标签}\n",
    "dic_cpgg = dict(zip(dic_CPGG['dict_value'], dic_CPGG['dict_label']))\n",
    "dict_cpgg = {}\n",
    "for key, value in dic_cpgg.items():\n",
    "    dict_cpgg[int(key)] = value\n",
    "dict_cpgg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b79f6aa2-3d72-4a55-8f4c-3cf0ffaac56c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: '海螺水泥',\n",
       " 1: '东方希望水泥',\n",
       " 2: '三峡水泥',\n",
       " 3: '京兰水泥',\n",
       " 4: '四棵松水泥',\n",
       " 5: '娲石水泥',\n",
       " 6: '福兴水泥',\n",
       " 7: '华新水泥',\n",
       " 8: '金盛兰矿粉',\n",
       " 9: '武新矿粉',\n",
       " 10: '鑫缘矿粉',\n",
       " 11: '钢华矿粉',\n",
       " 12: '嘉华矿粉'}"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#产品品牌\n",
    "dic_CPPP = dic[dic['dict_type'] == 'ERP_CPPP']\n",
    "dic_CPPP\n",
    "#根据该表生成字典{值：标签}\n",
    "dic_cppp = dict(zip(dic_CPPP['dict_value'], dic_CPPP['dict_label']))\n",
    "dict_cppp = {}\n",
    "for key, value in dic_cppp.items():\n",
    "    dict_cppp[int(key)] = value\n",
    "dict_cppp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab2f615a-483a-4081-943c-beffcab30eba",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### 关联表格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "c3ee8cea-eeed-4b12-8bfc-4c4b0c4424b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>ddap_id</th>\n",
       "      <th>khxx_id</th>\n",
       "      <th>zdxx_id</th>\n",
       "      <th>khxd_id</th>\n",
       "      <th>fhdxx_id</th>\n",
       "      <th>hplx</th>\n",
       "      <th>cpgg</th>\n",
       "      <th>cppp</th>\n",
       "      <th>jz</th>\n",
       "      <th>dzdw</th>\n",
       "      <th>dj</th>\n",
       "      <th>hk</th>\n",
       "      <th>clxx_id</th>\n",
       "      <th>create_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2509</td>\n",
       "      <td>3624</td>\n",
       "      <td>218</td>\n",
       "      <td>319</td>\n",
       "      <td>1978</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>38.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>7944.66</td>\n",
       "      <td>314</td>\n",
       "      <td>2022-07-21 07:10:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2510</td>\n",
       "      <td>3637</td>\n",
       "      <td>107</td>\n",
       "      <td>93</td>\n",
       "      <td>1981</td>\n",
       "      <td>124</td>\n",
       "      <td>水泥</td>\n",
       "      <td>P.O42.5</td>\n",
       "      <td>海螺水泥</td>\n",
       "      <td>45.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>15490.40</td>\n",
       "      <td>241</td>\n",
       "      <td>2022-07-21 07:19:48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2514</td>\n",
       "      <td>3638</td>\n",
       "      <td>152</td>\n",
       "      <td>191</td>\n",
       "      <td>1986</td>\n",
       "      <td>121</td>\n",
       "      <td>水泥</td>\n",
       "      <td>P.O42.5</td>\n",
       "      <td>海螺水泥</td>\n",
       "      <td>43.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>14028.80</td>\n",
       "      <td>276</td>\n",
       "      <td>2022-07-21 10:49:34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2515</td>\n",
       "      <td>3639</td>\n",
       "      <td>152</td>\n",
       "      <td>191</td>\n",
       "      <td>1986</td>\n",
       "      <td>121</td>\n",
       "      <td>水泥</td>\n",
       "      <td>P.O42.5</td>\n",
       "      <td>海螺水泥</td>\n",
       "      <td>52.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>16704.00</td>\n",
       "      <td>257</td>\n",
       "      <td>2022-07-21 10:49:35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2516</td>\n",
       "      <td>3666</td>\n",
       "      <td>139</td>\n",
       "      <td>141</td>\n",
       "      <td>1998</td>\n",
       "      <td>104</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>32.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>9437.44</td>\n",
       "      <td>163</td>\n",
       "      <td>2022-07-21 11:23:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49870</th>\n",
       "      <td>60712</td>\n",
       "      <td>62734</td>\n",
       "      <td>461</td>\n",
       "      <td>744</td>\n",
       "      <td>32869</td>\n",
       "      <td>104</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>36.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1800.00</td>\n",
       "      <td>1345</td>\n",
       "      <td>2024-06-24 13:28:49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49871</th>\n",
       "      <td>60713</td>\n",
       "      <td>62747</td>\n",
       "      <td>609</td>\n",
       "      <td>1145</td>\n",
       "      <td>32886</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>6379.80</td>\n",
       "      <td>106</td>\n",
       "      <td>2024-06-24 14:08:54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49872</th>\n",
       "      <td>60714</td>\n",
       "      <td>62748</td>\n",
       "      <td>103</td>\n",
       "      <td>87</td>\n",
       "      <td>32893</td>\n",
       "      <td>104</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>34.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>5363.00</td>\n",
       "      <td>226</td>\n",
       "      <td>2024-06-24 14:09:20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49873</th>\n",
       "      <td>60715</td>\n",
       "      <td>62745</td>\n",
       "      <td>201</td>\n",
       "      <td>892</td>\n",
       "      <td>32890</td>\n",
       "      <td>104</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>6908.80</td>\n",
       "      <td>125</td>\n",
       "      <td>2024-06-24 14:40:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49874</th>\n",
       "      <td>60716</td>\n",
       "      <td>62744</td>\n",
       "      <td>388</td>\n",
       "      <td>1278</td>\n",
       "      <td>32911</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>35.68</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>5352.00</td>\n",
       "      <td>766</td>\n",
       "      <td>2024-06-24 15:07:41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49875 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  ddap_id  khxx_id  zdxx_id  khxd_id  fhdxx_id hplx     cpgg  \\\n",
       "0       2509     3624      218      319     1978       103   矿粉      S95   \n",
       "1       2510     3637      107       93     1981       124   水泥  P.O42.5   \n",
       "2       2514     3638      152      191     1986       121   水泥  P.O42.5   \n",
       "3       2515     3639      152      191     1986       121   水泥  P.O42.5   \n",
       "4       2516     3666      139      141     1998       104   矿粉      S95   \n",
       "...      ...      ...      ...      ...      ...       ...  ...      ...   \n",
       "49870  60712    62734      461      744    32869       104   矿粉      S95   \n",
       "49871  60713    62747      609     1145    32886       105   矿粉      S95   \n",
       "49872  60714    62748      103       87    32893       104   矿粉      S95   \n",
       "49873  60715    62745      201      892    32890       104   矿粉      S95   \n",
       "49874  60716    62744      388     1278    32911       105   矿粉      S95   \n",
       "\n",
       "        cppp     jz  dzdw     dj        hk  clxx_id          create_time  \n",
       "0      金盛兰矿粉  38.38   0.0  207.0   7944.66      314  2022-07-21 07:10:48  \n",
       "1       海螺水泥  45.56   0.0  340.0  15490.40      241  2022-07-21 07:19:48  \n",
       "2       海螺水泥  43.84   0.0  320.0  14028.80      276  2022-07-21 10:49:34  \n",
       "3       海螺水泥  52.20   0.0  320.0  16704.00      257  2022-07-21 10:49:35  \n",
       "4       武新矿粉  32.32   0.0  292.0   9437.44      163  2022-07-21 11:23:31  \n",
       "...      ...    ...   ...    ...       ...      ...                  ...  \n",
       "49870   武新矿粉  36.00   0.0   50.0   1800.00     1345  2024-06-24 13:28:49  \n",
       "49871   武新矿粉  41.16   0.0  155.0   6379.80      106  2024-06-24 14:08:54  \n",
       "49872   武新矿粉  34.60   0.0  155.0   5363.00      226  2024-06-24 14:09:20  \n",
       "49873   武新矿粉  40.64   0.0  170.0   6908.80      125  2024-06-24 14:40:16  \n",
       "49874   武新矿粉  35.68   0.0  150.0   5352.00      766  2024-06-24 15:07:41  \n",
       "\n",
       "[49875 rows x 15 columns]"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#产品类型\n",
    "fhjl_1 = fhjl.replace({'hplx':dict_hplx})\n",
    "fhjl_1 = fhjl_1.replace({'cpgg':dict_cpgg})\n",
    "fhjl_1 = fhjl_1.replace({'cppp':dict_cppp})\n",
    "fhjl_1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce639a13-13d6-45a3-82e6-fcc7dacccc78",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 3.车辆信息&fhjl_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "39468d74-790e-4835-8c1a-62e5d99e6cde",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>ddap_id</th>\n",
       "      <th>khxx_id</th>\n",
       "      <th>zdxx_id</th>\n",
       "      <th>khxd_id</th>\n",
       "      <th>fhdxx_id</th>\n",
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       "      <th>cpgg</th>\n",
       "      <th>cppp</th>\n",
       "      <th>jz</th>\n",
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       "      <th>dj</th>\n",
       "      <th>hk</th>\n",
       "      <th>create_time</th>\n",
       "      <th>cph</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2509</td>\n",
       "      <td>3624</td>\n",
       "      <td>218</td>\n",
       "      <td>319</td>\n",
       "      <td>1978</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>38.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>7944.66</td>\n",
       "      <td>2022-07-21 07:10:48</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2542</td>\n",
       "      <td>3689</td>\n",
       "      <td>218</td>\n",
       "      <td>319</td>\n",
       "      <td>2015</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>38.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>7870.14</td>\n",
       "      <td>2022-07-22 01:07:50</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2546</td>\n",
       "      <td>3713</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>2025</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>39.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>8056.50</td>\n",
       "      <td>2022-07-22 07:22:39</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2608</td>\n",
       "      <td>3874</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>2138</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>37.46</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>7679.30</td>\n",
       "      <td>2022-07-24 07:45:33</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2636</td>\n",
       "      <td>3960</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>2174</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>38.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>7855.60</td>\n",
       "      <td>2022-07-24 19:45:26</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49869</th>\n",
       "      <td>60479</td>\n",
       "      <td>62510</td>\n",
       "      <td>643</td>\n",
       "      <td>1242</td>\n",
       "      <td>32856</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6563.20</td>\n",
       "      <td>2024-06-19 16:31:19</td>\n",
       "      <td>鄂AVV732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49870</th>\n",
       "      <td>60539</td>\n",
       "      <td>62573</td>\n",
       "      <td>643</td>\n",
       "      <td>1253</td>\n",
       "      <td>32833</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6438.40</td>\n",
       "      <td>2024-06-20 12:11:23</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49871</th>\n",
       "      <td>60601</td>\n",
       "      <td>62632</td>\n",
       "      <td>643</td>\n",
       "      <td>1243</td>\n",
       "      <td>32834</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6470.40</td>\n",
       "      <td>2024-06-21 15:56:02</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49872</th>\n",
       "      <td>60706</td>\n",
       "      <td>62743</td>\n",
       "      <td>643</td>\n",
       "      <td>1258</td>\n",
       "      <td>32910</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6563.20</td>\n",
       "      <td>2024-06-24 12:14:13</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49873</th>\n",
       "      <td>60600</td>\n",
       "      <td>62628</td>\n",
       "      <td>643</td>\n",
       "      <td>1261</td>\n",
       "      <td>32852</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.46</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6633.60</td>\n",
       "      <td>2024-06-21 15:56:01</td>\n",
       "      <td>鄂AQ9150</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49874 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  ddap_id  khxx_id  zdxx_id  khxd_id  fhdxx_id hplx cpgg   cppp  \\\n",
       "0       2509     3624      218      319     1978       103   矿粉  S95  金盛兰矿粉   \n",
       "1       2542     3689      218      319     2015       103   矿粉  S95  金盛兰矿粉   \n",
       "2       2546     3713      218      273     2025       103   矿粉  S95  金盛兰矿粉   \n",
       "3       2608     3874      218      273     2138       103   矿粉  S95  金盛兰矿粉   \n",
       "4       2636     3960      218      273     2174       103   矿粉  S95  金盛兰矿粉   \n",
       "...      ...      ...      ...      ...      ...       ...  ...  ...    ...   \n",
       "49869  60479    62510      643     1242    32856       105   矿粉  S95   武新矿粉   \n",
       "49870  60539    62573      643     1253    32833       105   矿粉  S95   武新矿粉   \n",
       "49871  60601    62632      643     1243    32834       105   矿粉  S95   武新矿粉   \n",
       "49872  60706    62743      643     1258    32910       105   矿粉  S95   武新矿粉   \n",
       "49873  60600    62628      643     1261    32852       105   矿粉  S95   武新矿粉   \n",
       "\n",
       "          jz  dzdw     dj       hk          create_time      cph  \n",
       "0      38.38   0.0  207.0  7944.66  2022-07-21 07:10:48  鄂L1D516  \n",
       "1      38.02   0.0  207.0  7870.14  2022-07-22 01:07:50  鄂L1D516  \n",
       "2      39.30   0.0  205.0  8056.50  2022-07-22 07:22:39  鄂L1D516  \n",
       "3      37.46   0.0  205.0  7679.30  2022-07-24 07:45:33  鄂L1D516  \n",
       "4      38.32   0.0  205.0  7855.60  2022-07-24 19:45:26  鄂L1D516  \n",
       "...      ...   ...    ...      ...                  ...      ...  \n",
       "49869  41.02   0.0  160.0  6563.20  2024-06-19 16:31:19  鄂AVV732  \n",
       "49870  40.24   0.0  160.0  6438.40  2024-06-20 12:11:23  鄂A1V300  \n",
       "49871  40.44   0.0  160.0  6470.40  2024-06-21 15:56:02  鄂A1V300  \n",
       "49872  41.02   0.0  160.0  6563.20  2024-06-24 12:14:13  鄂A1V300  \n",
       "49873  41.46   0.0  160.0  6633.60  2024-06-21 15:56:01  鄂AQ9150  \n",
       "\n",
       "[49874 rows x 15 columns]"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clxx_list = ['clxx_id','cph']\n",
    "clxx.columns = clxx_list\n",
    "fhjl_2 = pd.merge(fhjl_1,clxx,on = 'clxx_id')\n",
    "fhjl_2 = fhjl_2.drop('clxx_id',axis = 1)\n",
    "fhjl_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "73080fe9-4c28-403d-a114-c8aabf0cf669",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "963dec45-dc4e-4f1f-85db-081043e13c5d",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 4.客户下单&khxx_user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "9e83513f-bec6-4c77-8298-918650373d8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>khxd_id</th>\n",
       "      <th>khxx_id</th>\n",
       "      <th>zd_id</th>\n",
       "      <th>fhdw</th>\n",
       "      <th>ywlx_code</th>\n",
       "      <th>fhd_id</th>\n",
       "      <th>user_name</th>\n",
       "      <th>khmc</th>\n",
       "      <th>sales_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>745</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>100.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>威鹏展志</td>\n",
       "      <td>何义奎</td>\n",
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       "      <th>1</th>\n",
       "      <td>745</td>\n",
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       "      <td>276</td>\n",
       "      <td>100.0</td>\n",
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       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>联鑫齐盛</td>\n",
       "      <td>何义奎</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>745</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>100.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>宏福煜轩</td>\n",
       "      <td>何义奎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>745</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>100.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>武汉军璐</td>\n",
       "      <td>何义奎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>745</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>100.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>盛华鑫</td>\n",
       "      <td>何义奎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1161442</th>\n",
       "      <td>32122</td>\n",
       "      <td>647</td>\n",
       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>湖北联发水泥厂</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161443</th>\n",
       "      <td>32150</td>\n",
       "      <td>647</td>\n",
       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161444</th>\n",
       "      <td>32150</td>\n",
       "      <td>647</td>\n",
       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>唐俊吉</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161445</th>\n",
       "      <td>32150</td>\n",
       "      <td>647</td>\n",
       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>湖北志森</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161446</th>\n",
       "      <td>32150</td>\n",
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       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>湖北联发水泥厂</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1161447 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         khxd_id  khxx_id  zd_id   fhdw      ywlx_code  fhd_id  user_name  \\\n",
       "0            745      141    276  100.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "1            745      141    276  100.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "2            745      141    276  100.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "3            745      141    276  100.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "4            745      141    276  100.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "...          ...      ...    ...    ...            ...     ...        ...   \n",
       "1161442    32122      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161443    32150      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161444    32150      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161445    32150      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161446    32150      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "\n",
       "            khmc sales_name  \n",
       "0           威鹏展志        何义奎  \n",
       "1           联鑫齐盛        何义奎  \n",
       "2           宏福煜轩        何义奎  \n",
       "3           武汉军璐        何义奎  \n",
       "4            盛华鑫        何义奎  \n",
       "...          ...        ...  \n",
       "1161442  湖北联发水泥厂        李雨舟  \n",
       "1161443      鑫超强        李雨舟  \n",
       "1161444      唐俊吉        李雨舟  \n",
       "1161445     湖北志森        李雨舟  \n",
       "1161446  湖北联发水泥厂        李雨舟  \n",
       "\n",
       "[1161447 rows x 9 columns]"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "khxd_1 = pd.merge(khxd_0,khxx_user,on = 'user_name')\n",
    "khxd_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "d1e91066-a93e-42c7-b760-16dc624fce83",
   "metadata": {},
   "outputs": [
    {
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       "      <td>141</td>\n",
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       "      <td>200.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>威鹏展志</td>\n",
       "      <td>何义奎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>928</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>200.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>威鹏展志</td>\n",
       "      <td>何义奎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>958</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>150.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>威鹏展志</td>\n",
       "      <td>何义奎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>984</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>200.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>威鹏展志</td>\n",
       "      <td>何义奎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161427</th>\n",
       "      <td>30489</td>\n",
       "      <td>626</td>\n",
       "      <td>1187</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161431</th>\n",
       "      <td>30757</td>\n",
       "      <td>626</td>\n",
       "      <td>1187</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161435</th>\n",
       "      <td>31343</td>\n",
       "      <td>626</td>\n",
       "      <td>1187</td>\n",
       "      <td>70.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161439</th>\n",
       "      <td>32122</td>\n",
       "      <td>647</td>\n",
       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161443</th>\n",
       "      <td>32150</td>\n",
       "      <td>647</td>\n",
       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24741 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         khxd_id  khxx_id  zd_id   fhdw      ywlx_code  fhd_id  user_name  \\\n",
       "0            745      141    276  100.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "48           865      141    276  200.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "96           928      141    276  200.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "144          958      141    276  150.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "192          984      141    276  200.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "...          ...      ...    ...    ...            ...     ...        ...   \n",
       "1161427    30489      626   1187   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161431    30757      626   1187   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161435    31343      626   1187   70.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161439    32122      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161443    32150      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "\n",
       "         khmc sales_name  \n",
       "0        威鹏展志        何义奎  \n",
       "48       威鹏展志        何义奎  \n",
       "96       威鹏展志        何义奎  \n",
       "144      威鹏展志        何义奎  \n",
       "192      威鹏展志        何义奎  \n",
       "...       ...        ...  \n",
       "1161427   鑫超强        李雨舟  \n",
       "1161431   鑫超强        李雨舟  \n",
       "1161435   鑫超强        李雨舟  \n",
       "1161439   鑫超强        李雨舟  \n",
       "1161443   鑫超强        李雨舟  \n",
       "\n",
       "[24741 rows x 9 columns]"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#合并后产生多余重复项，删去\n",
    "khxd_1 = khxd_1.drop_duplicates(subset=['khxd_id'],keep='first',inplace=False)\n",
    "khxd_1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d165894-2b5a-4c2f-a326-a80cf3b6dbd0",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 5.khxd_1&fhjl_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "3d00c8ed-8b79-4e34-ba6d-6c6fb6ddcf88",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>khxd_id</th>\n",
       "      <th>khxx_id</th>\n",
       "      <th>zd_id</th>\n",
       "      <th>fhdw</th>\n",
       "      <th>ywlx_code</th>\n",
       "      <th>fhd_id</th>\n",
       "      <th>user_name</th>\n",
       "      <th>khmc</th>\n",
       "      <th>sales_name</th>\n",
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       "      <th>0</th>\n",
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       "      <td>100.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
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       "      <th>48</th>\n",
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       "      <td>何义奎</td>\n",
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       "      <td>141</td>\n",
       "      <td>276</td>\n",
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       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>威鹏展志</td>\n",
       "      <td>何义奎</td>\n",
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       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>958</td>\n",
       "      <td>141</td>\n",
       "      <td>276</td>\n",
       "      <td>150.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
       "      <td>威鹏展志</td>\n",
       "      <td>何义奎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>984</td>\n",
       "      <td>141</td>\n",
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       "      <td>200.0</td>\n",
       "      <td>配送 (贸易+起驳+运输)</td>\n",
       "      <td>121</td>\n",
       "      <td>DS0403001</td>\n",
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       "      <td>何义奎</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161427</th>\n",
       "      <td>30489</td>\n",
       "      <td>626</td>\n",
       "      <td>1187</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161431</th>\n",
       "      <td>30757</td>\n",
       "      <td>626</td>\n",
       "      <td>1187</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161435</th>\n",
       "      <td>31343</td>\n",
       "      <td>626</td>\n",
       "      <td>1187</td>\n",
       "      <td>70.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161439</th>\n",
       "      <td>32122</td>\n",
       "      <td>647</td>\n",
       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
       "      <td>配送 (贸易+运输)</td>\n",
       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
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       "      <td>1237</td>\n",
       "      <td>35.0</td>\n",
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       "      <td>104</td>\n",
       "      <td>DS0501003</td>\n",
       "      <td>鑫超强</td>\n",
       "      <td>李雨舟</td>\n",
       "    </tr>\n",
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       "<p>24741 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         khxd_id  khxx_id  zd_id   fhdw      ywlx_code  fhd_id  user_name  \\\n",
       "0            745      141    276  100.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "48           865      141    276  200.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "96           928      141    276  200.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "144          958      141    276  150.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "192          984      141    276  200.0  配送 (贸易+起驳+运输)     121  DS0403001   \n",
       "...          ...      ...    ...    ...            ...     ...        ...   \n",
       "1161427    30489      626   1187   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161431    30757      626   1187   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161435    31343      626   1187   70.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161439    32122      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "1161443    32150      647   1237   35.0     配送 (贸易+运输)     104  DS0501003   \n",
       "\n",
       "         khmc sales_name  \n",
       "0        威鹏展志        何义奎  \n",
       "48       威鹏展志        何义奎  \n",
       "96       威鹏展志        何义奎  \n",
       "144      威鹏展志        何义奎  \n",
       "192      威鹏展志        何义奎  \n",
       "...       ...        ...  \n",
       "1161427   鑫超强        李雨舟  \n",
       "1161431   鑫超强        李雨舟  \n",
       "1161435   鑫超强        李雨舟  \n",
       "1161439   鑫超强        李雨舟  \n",
       "1161443   鑫超强        李雨舟  \n",
       "\n",
       "[24741 rows x 9 columns]"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "khxd_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "d6c9ad42-e013-4c24-92d5-5dda6eb3f5de",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>ddap_id</th>\n",
       "      <th>khxx_id</th>\n",
       "      <th>zdxx_id</th>\n",
       "      <th>khxd_id</th>\n",
       "      <th>fhdxx_id</th>\n",
       "      <th>hplx</th>\n",
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       "      <th>cph</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>319</td>\n",
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       "      <td>319</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>207.0</td>\n",
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       "      <td>金盛兰矿粉</td>\n",
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       "      <td>205.0</td>\n",
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       "      <td>金盛兰矿粉</td>\n",
       "      <td>37.46</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>7679.30</td>\n",
       "      <td>2022-07-24 07:45:33</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2636</td>\n",
       "      <td>3960</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>2174</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>38.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>7855.60</td>\n",
       "      <td>2022-07-24 19:45:26</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49869</th>\n",
       "      <td>60479</td>\n",
       "      <td>62510</td>\n",
       "      <td>643</td>\n",
       "      <td>1242</td>\n",
       "      <td>32856</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6563.20</td>\n",
       "      <td>2024-06-19 16:31:19</td>\n",
       "      <td>鄂AVV732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49870</th>\n",
       "      <td>60539</td>\n",
       "      <td>62573</td>\n",
       "      <td>643</td>\n",
       "      <td>1253</td>\n",
       "      <td>32833</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6438.40</td>\n",
       "      <td>2024-06-20 12:11:23</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49871</th>\n",
       "      <td>60601</td>\n",
       "      <td>62632</td>\n",
       "      <td>643</td>\n",
       "      <td>1243</td>\n",
       "      <td>32834</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6470.40</td>\n",
       "      <td>2024-06-21 15:56:02</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49872</th>\n",
       "      <td>60706</td>\n",
       "      <td>62743</td>\n",
       "      <td>643</td>\n",
       "      <td>1258</td>\n",
       "      <td>32910</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6563.20</td>\n",
       "      <td>2024-06-24 12:14:13</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49873</th>\n",
       "      <td>60600</td>\n",
       "      <td>62628</td>\n",
       "      <td>643</td>\n",
       "      <td>1261</td>\n",
       "      <td>32852</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.46</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6633.60</td>\n",
       "      <td>2024-06-21 15:56:01</td>\n",
       "      <td>鄂AQ9150</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49874 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  ddap_id  khxx_id  zdxx_id  khxd_id  fhdxx_id hplx cpgg   cppp  \\\n",
       "0       2509     3624      218      319     1978       103   矿粉  S95  金盛兰矿粉   \n",
       "1       2542     3689      218      319     2015       103   矿粉  S95  金盛兰矿粉   \n",
       "2       2546     3713      218      273     2025       103   矿粉  S95  金盛兰矿粉   \n",
       "3       2608     3874      218      273     2138       103   矿粉  S95  金盛兰矿粉   \n",
       "4       2636     3960      218      273     2174       103   矿粉  S95  金盛兰矿粉   \n",
       "...      ...      ...      ...      ...      ...       ...  ...  ...    ...   \n",
       "49869  60479    62510      643     1242    32856       105   矿粉  S95   武新矿粉   \n",
       "49870  60539    62573      643     1253    32833       105   矿粉  S95   武新矿粉   \n",
       "49871  60601    62632      643     1243    32834       105   矿粉  S95   武新矿粉   \n",
       "49872  60706    62743      643     1258    32910       105   矿粉  S95   武新矿粉   \n",
       "49873  60600    62628      643     1261    32852       105   矿粉  S95   武新矿粉   \n",
       "\n",
       "          jz  dzdw     dj       hk          create_time      cph  \n",
       "0      38.38   0.0  207.0  7944.66  2022-07-21 07:10:48  鄂L1D516  \n",
       "1      38.02   0.0  207.0  7870.14  2022-07-22 01:07:50  鄂L1D516  \n",
       "2      39.30   0.0  205.0  8056.50  2022-07-22 07:22:39  鄂L1D516  \n",
       "3      37.46   0.0  205.0  7679.30  2022-07-24 07:45:33  鄂L1D516  \n",
       "4      38.32   0.0  205.0  7855.60  2022-07-24 19:45:26  鄂L1D516  \n",
       "...      ...   ...    ...      ...                  ...      ...  \n",
       "49869  41.02   0.0  160.0  6563.20  2024-06-19 16:31:19  鄂AVV732  \n",
       "49870  40.24   0.0  160.0  6438.40  2024-06-20 12:11:23  鄂A1V300  \n",
       "49871  40.44   0.0  160.0  6470.40  2024-06-21 15:56:02  鄂A1V300  \n",
       "49872  41.02   0.0  160.0  6563.20  2024-06-24 12:14:13  鄂A1V300  \n",
       "49873  41.46   0.0  160.0  6633.60  2024-06-21 15:56:01  鄂AQ9150  \n",
       "\n",
       "[49874 rows x 15 columns]"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fhjl_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "610c83eb-7705-4f07-a38c-98038232f54b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>ddap_id</th>\n",
       "      <th>khxx_id_x</th>\n",
       "      <th>zdxx_id</th>\n",
       "      <th>khxd_id</th>\n",
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       "      <th>cppp</th>\n",
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       "      <th>create_time</th>\n",
       "      <th>cph</th>\n",
       "      <th>khxx_id_y</th>\n",
       "      <th>zd_id</th>\n",
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       "      <td>39.30</td>\n",
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       "      <td>2022-07-22 07:22:39</td>\n",
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       "      <th>1</th>\n",
       "      <td>2608</td>\n",
       "      <td>3874</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>2138</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>37.46</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-07-24 07:45:33</td>\n",
       "      <td>鄂L1D516</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
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       "      <td>103</td>\n",
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       "      <td>钱多多</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2636</td>\n",
       "      <td>3960</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>2174</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>38.32</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-07-24 19:45:26</td>\n",
       "      <td>鄂L1D516</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>100.00</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>103</td>\n",
       "      <td>DS0401002</td>\n",
       "      <td>建工-水泥-恒泰</td>\n",
       "      <td>钱多多</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2641</td>\n",
       "      <td>3961</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>2174</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>38.50</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-07-25 07:43:22</td>\n",
       "      <td>鄂L1D516</td>\n",
       "      <td>218</td>\n",
       "      <td>273</td>\n",
       "      <td>100.00</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>103</td>\n",
       "      <td>DS0401002</td>\n",
       "      <td>建工-水泥-恒泰</td>\n",
       "      <td>钱多多</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2638</td>\n",
       "      <td>3962</td>\n",
       "      <td>218</td>\n",
       "      <td>319</td>\n",
       "      <td>2175</td>\n",
       "      <td>103</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-07-25 01:36:56</td>\n",
       "      <td>鄂L1D516</td>\n",
       "      <td>218</td>\n",
       "      <td>319</td>\n",
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       "      <td>103</td>\n",
       "      <td>DS0401002</td>\n",
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       "      <td>钱多多</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>42415</th>\n",
       "      <td>60479</td>\n",
       "      <td>62510</td>\n",
       "      <td>643</td>\n",
       "      <td>1242</td>\n",
       "      <td>32856</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.02</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-06-19 16:31:19</td>\n",
       "      <td>鄂AVV732</td>\n",
       "      <td>643</td>\n",
       "      <td>1242</td>\n",
       "      <td>41.02</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>105</td>\n",
       "      <td>chediao</td>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>调度室</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42416</th>\n",
       "      <td>60539</td>\n",
       "      <td>62573</td>\n",
       "      <td>643</td>\n",
       "      <td>1253</td>\n",
       "      <td>32833</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.24</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-06-20 12:11:23</td>\n",
       "      <td>鄂A1V300</td>\n",
       "      <td>643</td>\n",
       "      <td>1253</td>\n",
       "      <td>40.24</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>105</td>\n",
       "      <td>chediao</td>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>调度室</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42417</th>\n",
       "      <td>60601</td>\n",
       "      <td>62632</td>\n",
       "      <td>643</td>\n",
       "      <td>1243</td>\n",
       "      <td>32834</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.44</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-06-21 15:56:02</td>\n",
       "      <td>鄂A1V300</td>\n",
       "      <td>643</td>\n",
       "      <td>1243</td>\n",
       "      <td>40.44</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>105</td>\n",
       "      <td>chediao</td>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>调度室</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42418</th>\n",
       "      <td>60706</td>\n",
       "      <td>62743</td>\n",
       "      <td>643</td>\n",
       "      <td>1258</td>\n",
       "      <td>32910</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.02</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-06-24 12:14:13</td>\n",
       "      <td>鄂A1V300</td>\n",
       "      <td>643</td>\n",
       "      <td>1258</td>\n",
       "      <td>70.00</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>105</td>\n",
       "      <td>DS0403000</td>\n",
       "      <td>顺发天诚</td>\n",
       "      <td>李庭辉</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42419</th>\n",
       "      <td>60600</td>\n",
       "      <td>62628</td>\n",
       "      <td>643</td>\n",
       "      <td>1261</td>\n",
       "      <td>32852</td>\n",
       "      <td>105</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.46</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-06-21 15:56:01</td>\n",
       "      <td>鄂AQ9150</td>\n",
       "      <td>643</td>\n",
       "      <td>1261</td>\n",
       "      <td>41.46</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>105</td>\n",
       "      <td>chediao</td>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>调度室</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>42420 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  ddap_id  khxx_id_x  zdxx_id  khxd_id  fhdxx_id hplx cpgg   cppp  \\\n",
       "0       2546     3713        218      273     2025       103   矿粉  S95  金盛兰矿粉   \n",
       "1       2608     3874        218      273     2138       103   矿粉  S95  金盛兰矿粉   \n",
       "2       2636     3960        218      273     2174       103   矿粉  S95  金盛兰矿粉   \n",
       "3       2641     3961        218      273     2174       103   矿粉  S95  金盛兰矿粉   \n",
       "4       2638     3962        218      319     2175       103   矿粉  S95  金盛兰矿粉   \n",
       "...      ...      ...        ...      ...      ...       ...  ...  ...    ...   \n",
       "42415  60479    62510        643     1242    32856       105   矿粉  S95   武新矿粉   \n",
       "42416  60539    62573        643     1253    32833       105   矿粉  S95   武新矿粉   \n",
       "42417  60601    62632        643     1243    32834       105   矿粉  S95   武新矿粉   \n",
       "42418  60706    62743        643     1258    32910       105   矿粉  S95   武新矿粉   \n",
       "42419  60600    62628        643     1261    32852       105   矿粉  S95   武新矿粉   \n",
       "\n",
       "          jz  ...          create_time      cph  khxx_id_y zd_id    fhdw  \\\n",
       "0      39.30  ...  2022-07-22 07:22:39  鄂L1D516        218   273   50.00   \n",
       "1      37.46  ...  2022-07-24 07:45:33  鄂L1D516        218   273   50.00   \n",
       "2      38.32  ...  2022-07-24 19:45:26  鄂L1D516        218   273  100.00   \n",
       "3      38.50  ...  2022-07-25 07:43:22  鄂L1D516        218   273  100.00   \n",
       "4       0.00  ...  2022-07-25 01:36:56  鄂L1D516        218   319   50.00   \n",
       "...      ...  ...                  ...      ...        ...   ...     ...   \n",
       "42415  41.02  ...  2024-06-19 16:31:19  鄂AVV732        643  1242   41.02   \n",
       "42416  40.24  ...  2024-06-20 12:11:23  鄂A1V300        643  1253   40.24   \n",
       "42417  40.44  ...  2024-06-21 15:56:02  鄂A1V300        643  1243   40.44   \n",
       "42418  41.02  ...  2024-06-24 12:14:13  鄂A1V300        643  1258   70.00   \n",
       "42419  41.46  ...  2024-06-21 15:56:01  鄂AQ9150        643  1261   41.46   \n",
       "\n",
       "       ywlx_code  fhd_id  user_name      khmc  sales_name  \n",
       "0        自提 (贸易)     103  DS0401002  建工-水泥-恒泰         钱多多  \n",
       "1        自提 (贸易)     103  DS0401002  建工-水泥-恒泰         钱多多  \n",
       "2        自提 (贸易)     103  DS0401002  建工-水泥-恒泰         钱多多  \n",
       "3        自提 (贸易)     103  DS0401002  建工-水泥-恒泰         钱多多  \n",
       "4        自提 (贸易)     103  DS0401002  建工-水泥-恒泰         钱多多  \n",
       "...          ...     ...        ...       ...         ...  \n",
       "42415    自提 (贸易)     105    chediao    德旺码头仓库         调度室  \n",
       "42416    自提 (贸易)     105    chediao    德旺码头仓库         调度室  \n",
       "42417    自提 (贸易)     105    chediao    德旺码头仓库         调度室  \n",
       "42418    自提 (贸易)     105  DS0403000      顺发天诚         李庭辉  \n",
       "42419    自提 (贸易)     105    chediao    德旺码头仓库         调度室  \n",
       "\n",
       "[42420 rows x 23 columns]"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#生成中间表！！！\n",
    "result = pd.merge(fhjl_2,khxd_1,on = 'khxd_id')\n",
    "result"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ec4cf52-a806-4605-9776-b8c8dba19b0f",
   "metadata": {},
   "source": [
    "## 6.修缮列顺序"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "id": "a60d50a2-a9d9-4dfd-93ca-8273cf34a047",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fhjl_id</th>\n",
       "      <th>fhjl_time</th>\n",
       "      <th>sales_name</th>\n",
       "      <th>ywlx_code</th>\n",
       "      <th>khmc</th>\n",
       "      <th>fhd_id</th>\n",
       "      <th>zd_id</th>\n",
       "      <th>hplx</th>\n",
       "      <th>cpgg</th>\n",
       "      <th>cppp</th>\n",
       "      <th>fhdw</th>\n",
       "      <th>dzdw</th>\n",
       "      <th>dj</th>\n",
       "      <th>hk</th>\n",
       "      <th>cph</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2546</td>\n",
       "      <td>2022-07-22 07:22:39</td>\n",
       "      <td>钱多多</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>建工-水泥-恒泰</td>\n",
       "      <td>103</td>\n",
       "      <td>273</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>8056.5</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2608</td>\n",
       "      <td>2022-07-24 07:45:33</td>\n",
       "      <td>钱多多</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>建工-水泥-恒泰</td>\n",
       "      <td>103</td>\n",
       "      <td>273</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>7679.3</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2636</td>\n",
       "      <td>2022-07-24 19:45:26</td>\n",
       "      <td>钱多多</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>建工-水泥-恒泰</td>\n",
       "      <td>103</td>\n",
       "      <td>273</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>7855.6</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2641</td>\n",
       "      <td>2022-07-25 07:43:22</td>\n",
       "      <td>钱多多</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>建工-水泥-恒泰</td>\n",
       "      <td>103</td>\n",
       "      <td>273</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>7892.5</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2638</td>\n",
       "      <td>2022-07-25 01:36:56</td>\n",
       "      <td>钱多多</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>建工-水泥-恒泰</td>\n",
       "      <td>103</td>\n",
       "      <td>319</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>金盛兰矿粉</td>\n",
       "      <td>50.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>鄂L1D516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42415</th>\n",
       "      <td>60479</td>\n",
       "      <td>2024-06-19 16:31:19</td>\n",
       "      <td>调度室</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>105</td>\n",
       "      <td>1242</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6563.2</td>\n",
       "      <td>鄂AVV732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42416</th>\n",
       "      <td>60539</td>\n",
       "      <td>2024-06-20 12:11:23</td>\n",
       "      <td>调度室</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>105</td>\n",
       "      <td>1253</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6438.4</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42417</th>\n",
       "      <td>60601</td>\n",
       "      <td>2024-06-21 15:56:02</td>\n",
       "      <td>调度室</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>105</td>\n",
       "      <td>1243</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>40.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6470.4</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42418</th>\n",
       "      <td>60706</td>\n",
       "      <td>2024-06-24 12:14:13</td>\n",
       "      <td>李庭辉</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>顺发天诚</td>\n",
       "      <td>105</td>\n",
       "      <td>1258</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>70.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6563.2</td>\n",
       "      <td>鄂A1V300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42419</th>\n",
       "      <td>60600</td>\n",
       "      <td>2024-06-21 15:56:01</td>\n",
       "      <td>调度室</td>\n",
       "      <td>自提 (贸易)</td>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>105</td>\n",
       "      <td>1261</td>\n",
       "      <td>矿粉</td>\n",
       "      <td>S95</td>\n",
       "      <td>武新矿粉</td>\n",
       "      <td>41.46</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>6633.6</td>\n",
       "      <td>鄂AQ9150</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>42420 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       fhjl_id            fhjl_time sales_name ywlx_code      khmc  fhd_id  \\\n",
       "0         2546  2022-07-22 07:22:39        钱多多   自提 (贸易)  建工-水泥-恒泰     103   \n",
       "1         2608  2022-07-24 07:45:33        钱多多   自提 (贸易)  建工-水泥-恒泰     103   \n",
       "2         2636  2022-07-24 19:45:26        钱多多   自提 (贸易)  建工-水泥-恒泰     103   \n",
       "3         2641  2022-07-25 07:43:22        钱多多   自提 (贸易)  建工-水泥-恒泰     103   \n",
       "4         2638  2022-07-25 01:36:56        钱多多   自提 (贸易)  建工-水泥-恒泰     103   \n",
       "...        ...                  ...        ...       ...       ...     ...   \n",
       "42415    60479  2024-06-19 16:31:19        调度室   自提 (贸易)    德旺码头仓库     105   \n",
       "42416    60539  2024-06-20 12:11:23        调度室   自提 (贸易)    德旺码头仓库     105   \n",
       "42417    60601  2024-06-21 15:56:02        调度室   自提 (贸易)    德旺码头仓库     105   \n",
       "42418    60706  2024-06-24 12:14:13        李庭辉   自提 (贸易)      顺发天诚     105   \n",
       "42419    60600  2024-06-21 15:56:01        调度室   自提 (贸易)    德旺码头仓库     105   \n",
       "\n",
       "       zd_id hplx cpgg   cppp    fhdw  dzdw     dj      hk      cph  \n",
       "0        273   矿粉  S95  金盛兰矿粉   50.00   0.0  205.0  8056.5  鄂L1D516  \n",
       "1        273   矿粉  S95  金盛兰矿粉   50.00   0.0  205.0  7679.3  鄂L1D516  \n",
       "2        273   矿粉  S95  金盛兰矿粉  100.00   0.0  205.0  7855.6  鄂L1D516  \n",
       "3        273   矿粉  S95  金盛兰矿粉  100.00   0.0  205.0  7892.5  鄂L1D516  \n",
       "4        319   矿粉  S95  金盛兰矿粉   50.00   0.0  205.0     0.0  鄂L1D516  \n",
       "...      ...  ...  ...    ...     ...   ...    ...     ...      ...  \n",
       "42415   1242   矿粉  S95   武新矿粉   41.02   0.0  160.0  6563.2  鄂AVV732  \n",
       "42416   1253   矿粉  S95   武新矿粉   40.24   0.0  160.0  6438.4  鄂A1V300  \n",
       "42417   1243   矿粉  S95   武新矿粉   40.44   0.0  160.0  6470.4  鄂A1V300  \n",
       "42418   1258   矿粉  S95   武新矿粉   70.00   0.0  160.0  6563.2  鄂A1V300  \n",
       "42419   1261   矿粉  S95   武新矿粉   41.46   0.0  160.0  6633.6  鄂AQ9150  \n",
       "\n",
       "[42420 rows x 15 columns]"
      ]
     },
     "execution_count": 239,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result = result.reindex(columns=['id','create_time','sales_name','ywlx_code','khmc','fhd_id','zd_id','hplx','cpgg','cppp',\n",
    "                                'fhdw','dzdw','dj','hk','cph'])    ##修正顺序\n",
    "result.columns = ['fhjl_id','fhjl_time','sales_name','ywlx_code','khmc','fhd_id','zd_id','hplx','cpgg','cppp',\n",
    "                                'fhdw','dzdw','dj','hk','cph']   ##按要求改行索引名\n",
    "result"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c526f98b-47f4-40c7-ad9d-3a71025b4574",
   "metadata": {},
   "source": [
    "# 四、统计分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80415a5f-f77a-4a25-9007-e4597f0e2c7d",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 各问题的统计分析常用的统计指标是通用的，故先设置一些函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "id": "f2053d4c-0294-4c01-8a06-ed278e988550",
   "metadata": {},
   "outputs": [],
   "source": [
    "#生成字典\n",
    "def arr(a,b,c,d):    # a = b[c].unique() ; d:要生成的新字典\n",
    "    for i in a:\n",
    "        str(i)\n",
    "        j = b[c].value_counts()[i]\n",
    "        d[i] = j\n",
    "    return d"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63a87973-4eeb-44a4-acda-a1bd83835055",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 1.水泥和矿粉的销量情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "id": "ad691fe3-28a2-4b42-9090-44cded8aad32",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "水泥被销售的次数： 10263\n",
      "矿粉被销售的次数： 32157\n",
      "被销售次数最多的是 矿粉 \n",
      "\n",
      "水泥总销售额： 113038641.36000001\n",
      "矿粉总销售额： 211974279.92000002\n",
      "总销售额最多的是 矿粉 \n",
      "\n",
      "客户按下单水泥次数降序排列： [('合力久盛(现金)', 2246), ('九欣通建材', 1316), ('建工-水泥-恒泰', 1262), ('刘伟', 1222), ('威鹏展志', 769), ('武汉中村', 659), ('武汉昊恒(水泥)', 651), ('德旺码头仓库', 543), ('顺发天诚', 541), ('湖北加瓦商贸', 422), ('正洪岩土', 303), ('明华', 152), ('诚优聚建材', 146), ('江南码头仓库', 31)]\n",
      "客户按下单矿粉次数降序排列： [('武汉中村', 5954), ('湖北加瓦商贸', 4053), ('合力久盛(现金)', 3890), ('德旺码头仓库', 3827), ('顺发天诚', 3047), ('正洪岩土', 2497), ('武汉昊恒(水泥)', 2190), ('威鹏展志', 1772), ('诚优聚建材', 1683), ('刘伟', 1302), ('建工-水泥-恒泰', 1195), ('九欣通建材', 261), ('江南码头仓库', 231), ('鑫超强', 135), ('明华', 120)] \n",
      "\n",
      "水泥品牌按下单次数降序排列： [('海螺水泥', 8226), ('三峡水泥', 1241), ('东方希望水泥', 375), ('娲石水泥', 355), ('华新水泥', 66)]\n",
      "矿粉品牌按下单次数降序排列： [('武新矿粉', 31134), ('金盛兰矿粉', 807), ('嘉华矿粉', 216)]\n"
     ]
    }
   ],
   "source": [
    "#以hplx来划分result，生成两张新表，两者只记录水泥/矿粉销售情况\n",
    "df_sn = result[result['hplx'] == '水泥']\n",
    "df_kf = result[result['hplx'] == '矿粉']\n",
    "\n",
    "#首先求两者各自的销售总量（第一个统计指标）\n",
    "n1 = len(df_sn['hplx'])\n",
    "n2 = len(df_kf['hplx'])\n",
    "print('水泥被销售的次数：',n1)\n",
    "print('矿粉被销售的次数：',n2)\n",
    "if n1 > n2:\n",
    "    n_max = '水泥'\n",
    "else:\n",
    "    n_max = '矿粉'\n",
    "print('被销售次数最多的是',n_max,'\\n')\n",
    "\n",
    "#两者各自的销售总金额（第二个统计指标）\n",
    "N1 = df_sn['hk'].sum()\n",
    "N2 = df_kf['hk'].sum()\n",
    "print('水泥总销售额：',N1)\n",
    "print('矿粉总销售额：',N2)\n",
    "if N1 > N2:\n",
    "    N_max = '水泥'\n",
    "else:\n",
    "    N_max  = '矿粉'\n",
    "print('总销售额最多的是',N_max,'\\n')\n",
    "\n",
    "#下单水泥最多的客户，下单矿粉最多的客户（第三个统计指标）\n",
    "kh_sn = df_sn['khmc'].unique()\n",
    "kh_sn_cs = {}\n",
    "arr(kh_sn,df_sn,'khmc',kh_sn_cs)\n",
    "print('客户按下单水泥次数降序排列：',sorted(kh_sn_cs.items(),key = lambda x:x[1],reverse = True))\n",
    "\n",
    "kh_kf = df_kf['khmc'].unique()\n",
    "kh_kf_cs = {}\n",
    "arr(kh_kf,df_kf,'khmc',kh_kf_cs)\n",
    "print('客户按下单矿粉次数降序排列：',sorted(kh_kf_cs.items(),key = lambda x:x[1],reverse = True),'\\n')\n",
    "\n",
    "#水泥最畅销的品牌，矿粉最畅销的品牌（第四个统计指标）\n",
    "pp_sn = df_sn['cppp'].unique()\n",
    "pp_sn_cs = {}\n",
    "arr(pp_sn,df_sn,'cppp',pp_sn_cs)\n",
    "print('水泥品牌按下单次数降序排列：',sorted(pp_sn_cs.items(),key = lambda x:x[1],reverse = True))\n",
    "\n",
    "pp_kf = df_kf['cppp'].unique()\n",
    "pp_kf_cs = {}\n",
    "arr(pp_kf,df_kf,'cppp',pp_kf_cs)\n",
    "print('矿粉品牌按下单次数降序排列：',sorted(pp_kf_cs.items(),key = lambda x:x[1],reverse = True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 516,
   "id": "f5d25fe0-22d2-4e1b-9af1-f386491b42d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#作品牌销售情况饼状图\n",
    "\n",
    "Lables1 = []\n",
    "Lables2 = []\n",
    "for key in pp_sn_cs.keys():\n",
    "    Lables1.append(key)\n",
    "for key in pp_kf_cs.keys():\n",
    "    Lables2.append(key)\n",
    "\n",
    "data1 = []\n",
    "data2 = []\n",
    "for value in pp_sn_cs.values():\n",
    "    int(value)\n",
    "    data1.append(value)\n",
    "for value in pp_kf_cs.values():\n",
    "    int(value)\n",
    "    data2.append(value)\n",
    "#水泥    \n",
    "plt.pie(data1, labels = Lables1, autopct = '%.2f%%')\n",
    "plt.show()\n",
    "#矿粉\n",
    "plt.pie(data2, labels = Lables2, autopct = '%.2f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5d22eff-22ef-4470-aa09-ffe600534799",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 2.客户需求量分析，哪些客户最重要"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "id": "3830c0db-9cf3-4904-aa6f-1c086d2bf333",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "客户按下单次数进行降序排列： [('武汉中村', 6613), ('合力久盛(现金)', 6136), ('湖北加瓦商贸', 4475), ('德旺码头仓库', 4370), ('顺发天诚', 3588), ('武汉昊恒(水泥)', 2841), ('正洪岩土', 2800), ('威鹏展志', 2541), ('刘伟', 2524), ('建工-水泥-恒泰', 2457), ('诚优聚建材', 1829), ('九欣通建材', 1577), ('明华', 272), ('江南码头仓库', 262), ('鑫超强', 135)]\n",
      "下单最多的客户是： 武汉中村\n"
     ]
    }
   ],
   "source": [
    "#客户按下单次数排序\n",
    "kh = result['khmc'].unique()\n",
    "kh_cs = {}\n",
    "arr(kh,result,'khmc',kh_cs)\n",
    "print('客户按下单次数进行降序排列：',sorted(kh_cs.items(),key = lambda x:x[1],reverse = True))\n",
    "key_max = max(kh_cs, key=kh_cs.get)\n",
    "print('下单最多的客户是：',key_max)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 480,
   "id": "70867351-de01-4cd2-bdbc-c82312278bb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>客户名称</th>\n",
       "      <th>下单水泥次数</th>\n",
       "      <th>下单矿粉次数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>湖北加瓦商贸</td>\n",
       "      <td>422</td>\n",
       "      <td>4053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>九欣通建材</td>\n",
       "      <td>1316</td>\n",
       "      <td>261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>建工-水泥-恒泰</td>\n",
       "      <td>1262</td>\n",
       "      <td>1195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>诚优聚建材</td>\n",
       "      <td>146</td>\n",
       "      <td>1683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>合力久盛(现金)</td>\n",
       "      <td>2246</td>\n",
       "      <td>3890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>明华</td>\n",
       "      <td>152</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>刘伟</td>\n",
       "      <td>1222</td>\n",
       "      <td>1302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>武汉中村</td>\n",
       "      <td>659</td>\n",
       "      <td>5954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>正洪岩土</td>\n",
       "      <td>303</td>\n",
       "      <td>2497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>威鹏展志</td>\n",
       "      <td>769</td>\n",
       "      <td>1772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>江南码头仓库</td>\n",
       "      <td>31</td>\n",
       "      <td>231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>德旺码头仓库</td>\n",
       "      <td>543</td>\n",
       "      <td>3827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>武汉昊恒(水泥)</td>\n",
       "      <td>651</td>\n",
       "      <td>2190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>顺发天诚</td>\n",
       "      <td>541</td>\n",
       "      <td>3047</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        客户名称  下单水泥次数  下单矿粉次数\n",
       "0     湖北加瓦商贸     422    4053\n",
       "1      九欣通建材    1316     261\n",
       "2   建工-水泥-恒泰    1262    1195\n",
       "3      诚优聚建材     146    1683\n",
       "4   合力久盛(现金)    2246    3890\n",
       "5         明华     152     120\n",
       "6         刘伟    1222    1302\n",
       "7       武汉中村     659    5954\n",
       "8       正洪岩土     303    2497\n",
       "9       威鹏展志     769    1772\n",
       "10    江南码头仓库      31     231\n",
       "11    德旺码头仓库     543    3827\n",
       "12  武汉昊恒(水泥)     651    2190\n",
       "13      顺发天诚     541    3047"
      ]
     },
     "execution_count": 480,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#客户对各商品分别下了多少次，带来多少钱，下得最多的商品是什么，给了多少钱\n",
    "kh_sn_name = []\n",
    "kh_sn_ccs = []\n",
    "kh_kf_name = []\n",
    "kh_kf_ccs = []\n",
    "for key in kh_sn_cs.keys():\n",
    "    kh_sn_name.append(key)\n",
    "for value in kh_sn_cs.values():\n",
    "    kh_sn_ccs.append(value)\n",
    "for key in kh_kf_cs.keys():\n",
    "    kh_kf_name.append(key)\n",
    "for value in kh_kf_cs.values():\n",
    "    kh_kf_ccs.append(value)\n",
    "data1 = pd.DataFrame({'客户名称':kh_sn_name,\n",
    "        '下单水泥次数':kh_sn_ccs})\n",
    "data2 = pd.DataFrame({'客户名称':kh_kf_name,\n",
    "        '下单矿粉次数':kh_kf_ccs})\n",
    "data = pd.merge(data1,data2, on = '客户名称')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76ff92f0-5601-4a9b-8220-d923220a320c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#求各客户下单水泥与矿粉的总金额\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 496,
   "id": "f18022b5-03d6-4842-a901-7a4e1f5e0556",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置柱状图的宽度\n",
    "bar_width = 0.35\n",
    "\n",
    "# 设置x轴的位置\n",
    "x = data.index\n",
    "\n",
    "# 绘制柱状图\n",
    "fig, ax = plt.subplots(figsize=(12, 7))\n",
    "rects1 = ax.bar(x - bar_width/2, data['下单水泥次数'], bar_width, label='水泥')\n",
    "rects2 = ax.bar(x + bar_width/2, data['下单矿粉次数'], bar_width, label='矿粉')\n",
    "\n",
    "# 添加标签和标题\n",
    "ax.set_xlabel('客户名称')\n",
    "ax.set_ylabel('购买次数')\n",
    "ax.set_title('各客户购买水泥与矿粉的情况')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(data['客户名称'])\n",
    "ax.legend()\n",
    "\n",
    "# 添加数据标签\n",
    "for rect in rects1:\n",
    "    height = rect.get_height()\n",
    "    ax.annotate('{}'.format(height),\n",
    "                xy=(rect.get_x() + rect.get_width() / 2, height),\n",
    "                xytext=(0, 3),  # 3 points vertical offset\n",
    "                textcoords=\"offset points\",\n",
    "                ha='center', va='bottom')\n",
    "\n",
    "for rect in rects2:\n",
    "    height = rect.get_height()\n",
    "    ax.annotate('{}'.format(height),\n",
    "                xy=(rect.get_x() + rect.get_width() / 2, height/2),\n",
    "                xytext=(0, 3),  # 3 points vertical offset\n",
    "                textcoords=\"offset points\",\n",
    "                ha='center', va='top')\n",
    "\n",
    "plt.xticks(rotation=-20)\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02d6c4eb-fdb3-4314-84e5-e0319805a302",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 3.业绩最好的销售经理 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "id": "8025e536-8576-4c28-b714-aebdb98d4333",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "销售经理按销售次数进行降序排序： [('史丹', 6613), ('李登', 6136), ('张蕊', 4475), ('调度室', 4370), ('李庭辉', 3588), ('潘建峰', 2841), ('甄常', 2800), ('何义奎', 2541), (' 夏云峰', 2524), ('钱多多', 2457), ('周正望', 1829), ('肖翔', 1577), ('容文志', 272), ('管理员', 262), ('李雨舟', 135)]\n",
      "业绩王是： 史丹\n"
     ]
    }
   ],
   "source": [
    "sales_men_list = result['sales_name'].unique()\n",
    "sales_men = {}\n",
    "for i in sales_men_list:\n",
    "    str(i)\n",
    "    j = result['sales_name'].value_counts()[i]\n",
    "    sales_men[i] = j\n",
    "print('销售经理按销售次数进行降序排序：',sorted(sales_men.items(),key = lambda x:x[1],reverse = True))\n",
    "key_MAX = max(sales_men, key=sales_men.get)\n",
    "print('业绩王是：',key_MAX)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 534,
   "id": "40acd6b7-a903-44eb-b099-1a534e1f4ed6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "销售经理按销售额进行降序排序： [('史丹', 54078649.85), ('李登', 39798344.47), ('潘建峰', 28856456.53), (' 夏云峰', 26425367.700000003), ('李庭辉', 24798213.729999997), ('调度室', 23540246.41), ('何义奎', 22026776.71), ('张蕊', 21926911.759999998), ('肖翔', 21213661.11), ('甄常', 21141045.17), ('钱多多', 21087910.689999998), ('周正望', 13411874.34), ('容文志', 3530543.88), ('管理员', 2243572.18), ('李雨舟', 933346.7500000001)]\n"
     ]
    }
   ],
   "source": [
    "#各个销售员为公司带来了多少钱\n",
    "def czcf(df_men,xsxm) :\n",
    "    df_men = result[result['sales_name'] == xsxm]\n",
    "    men_n = df_men['hk'].sum()\n",
    "    return(men_n)\n",
    "qqq = {}\n",
    "for key in sales_men.keys():\n",
    "    men_n = czcf(df_men,key)\n",
    "    qqq[key] = men_n\n",
    "print('销售经理按销售额进行降序排序：',sorted(qqq.items(),key = lambda x:x[1],reverse = True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 540,
   "id": "46df57b4-9011-42d2-9264-cc5fd70cf506",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>销售员姓名</th>\n",
       "      <th>销售总额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>史丹</td>\n",
       "      <td>54078649.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>李登</td>\n",
       "      <td>39798344.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>潘建峰</td>\n",
       "      <td>28856456.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>夏云峰</td>\n",
       "      <td>26425367.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>李庭辉</td>\n",
       "      <td>24798213.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>调度室</td>\n",
       "      <td>23540246.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>何义奎</td>\n",
       "      <td>22026776.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>张蕊</td>\n",
       "      <td>21926911.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>肖翔</td>\n",
       "      <td>21213661.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>甄常</td>\n",
       "      <td>21141045.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>钱多多</td>\n",
       "      <td>21087910.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>周正望</td>\n",
       "      <td>13411874.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>容文志</td>\n",
       "      <td>3530543.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>管理员</td>\n",
       "      <td>2243572.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>李雨舟</td>\n",
       "      <td>933346.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   销售员姓名         销售总额\n",
       "10    史丹  54078649.85\n",
       "5     李登  39798344.47\n",
       "13   潘建峰  28856456.53\n",
       "9    夏云峰  26425367.70\n",
       "12   李庭辉  24798213.73\n",
       "6    调度室  23540246.41\n",
       "11   何义奎  22026776.71\n",
       "2     张蕊  21926911.76\n",
       "3     肖翔  21213661.11\n",
       "4     甄常  21141045.17\n",
       "0    钱多多  21087910.69\n",
       "7    周正望  13411874.34\n",
       "8    容文志   3530543.88\n",
       "1    管理员   2243572.18\n",
       "14   李雨舟    933346.75"
      ]
     },
     "execution_count": 540,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_men_name = []\n",
    "sales_jine = []\n",
    "for key in qqq.keys():\n",
    "    sales_men_name.append(key)\n",
    "for value in qqq.values():\n",
    "    sales_jine.append(value)\n",
    "DATA = pd.DataFrame({'销售员姓名':sales_men_name,\n",
    "        '销售总额':sales_jine})\n",
    "DATA = DATA.sort_values(by='销售总额', ascending=False)\n",
    "DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "id": "0900908e-ece8-48c1-9087-574de3b360a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(close=None, block=None)>"
      ]
     },
     "execution_count": 542,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#作图\n",
    "plt.barh(DATA['销售员姓名'], DATA['销售总额'])\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b510e3a-e7ff-4767-a645-7d9180747c32",
   "metadata": {},
   "source": [
    "## 4.预测今年水泥矿粉的销量"
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